code: def __init__(
      self,
      data_list: List[int],
      source: DummyDatasetSource,
      name: Optional[str] = None,
      digest: Optional[str] = None,
  ):
      self._data_list = data_list
      super().__init__(source=source, name=name, digest=digest)
  
file_path: mlflow/tests/resources/mlflow-test-plugin/mlflow_test_plugin/dummy_dataset.py
imports: import json
  from typing import Any, Dict, List, Optional
  import numpy
  import pandas
  from mlflow.data.dataset import Dataset
  from mlflow.types import Schema
  from mlflow.types.utils import _infer_schema
  from mlflow_test_plugin.dummy_dataset_source import DummyDatasetSource
label_desc: Use image node_id 1 to create a new DummyDataset object from inherited base classes: Dataset with example: obj = DummyDataset(data_list, source, name, digest)